7 Python Data Visualization Libraries in 15 minutes

[@robmulla]

Because youtube doesn't seem to be showing my chapters in the videos here are the timeline links: 00:00 Introduction 00:33 Matplotlib 02:46 Seaborn 05:10 Bokeh 07:50 Plotly Express 11:40 Plotnine 13:02 Altair 13:24 Pandas 14:09 Summary

[@brandonwarfield5611]

I don't know how you made this entertaining! I was chuckling all the way through the video.

[@robmulla]

Haha. Thanks Brandon. Glad you enjoyed it.

[@askthenickman]

Love the energy. Thanks!

[@gschnuuget]

this is an amazing overview, thank you very much for this video! I especially like that you are presenting in dark mode 🙂

[@robmulla]

Glad you liked it! I appreciate the feedback.

[@subbyspersonalvlog7143]

It was worth a lot in just one lovely video imparting so much of value as you present things vividly in a very attractive way. Given enough time, I enjoy watching all your videos, multiple times if need be.

[@robmulla]

Glad you enjoyed it! This video is a little more silly than my other ones

[@cedric1731]

What also makes bokeh cool is it's ability to handle big data better than some alternatives

[@robmulla]

That’s a good note I didn’t realize!

[@BrianKamanzi]

Great video, exactly what I was looking for and positive energy to boot, appreciated.

[@jerichokatende8151]

Cool video, opened my eyes to Plotly

[@milindankur]

I love to watch Rob Mulla! All these plots are so beautiful! Thanks for summarizing them. Respect🤟

[@robmulla]

Glad you liked it! Appreciate the compliment.

[@hfuhruhurr]

Altair's (two syllables, btw) syntax makes the most sense to me. Took me forever to understand how to unleash the power, though.

[@robmulla]

I didn’t realize that. I haven’t used it much before. Why is it so powerful?

[@nulencode7660]

@@robmulla For Altair, I would say the syntax follows the same logic than Seaborn, but the advantage is that you can make more beautiful and **interactive** plot that are easy to embed in a webpage.

[@martinnjeri6997]

so nobody is gonna say something about those violin plots?? they look just like..... never mind!! Niice video Maestro... Learning a lot from you!! Kudos ....

[@robmulla]

🙊🙈 Thanks for watching.

[@kikfraben1]

Didn’t know that charts can be so much fun, awesome video!

[@carlosernestocustodiocaden777]

Excelente vídeo, es cosa de empezar a practicar, hasta encontrar lo mejor para el trabajo que hay que hacer.

[@robmulla]

Muchas gracias!

[@stuartberg8030]

I'll give a shout-out for my favorites: holoviews and hvplot.pandas, which are built on top of bokeh and matplotlib. They give you a high-level API that makes lots of standard plots quickly, but you're free to customize the plot yourself with the lower-level library (bokeh or matplotlib) if you need extra control.

[@BarmitzvahNTC]

Nice. I was surprised that you did not include LUX at this cool overview.

[@TheSoonAnn]

great way to introduce all the packages available , now i know the gg plot equivalent in python

[@mdd6197]

really helpful vid I mainly just plot in pandas like you said it saves you time lol but I did not know what I was missing out on with the interactive plots

[@robmulla]

Thanks so much for the feedback. Glad you learned something new about interactive plots. 🙌

[@kalif350]

Excellent video. Thanks!

[@robmulla]

Glad you liked it!

[@mschuer100]

Thank you Rob, another great video. Was never aware that PlotNine existed, will have to check it out. Also want to dig more into Ploty's scatter_map.....knew it existed but never used it...this gives me a reason to check it out. Keep the great videos coming please, they are very useful.

[@robmulla]

Glad you learned a few new things from this video. My hope was to show a lot of what's out there so you know it's there to use in the future.

[@mschuer100]

@@robmulla and a great job you did. Thanks!

[@chuang6248]

Plotly Express is awesome! that it what i need! thank you !

[@robmulla]

Glad you found what you were looking for!

[@RaptorT1V]

Вот это сразу лайк. Контент интересный и полезный. Для моего исследования в самый раз

[@agnichatian]

If the GUI of my app is a web page, can I put these plots on it ? If so, can they be interactive ? i.e. process in Python,, render as web...

[@RHHS1985]

Thanks a lot Rob ! Any suggestions to create Concept Maps, Mind Maps or Entity Relashionships diagrams, for Data Governance purposes ?

[@soumyadrip]

LMFAO did not know GMs are allowed to be that funny, JK , pog video editing skill. Had no idea that Python had many visualization libraries.

[@robmulla]

Glad you enjoyed it Somu! Trying to be a little less serious in this one.

[@cappy2112]

There are MANY more than he reviewed here though, close to 50 now

[@soumyadrip]

@@cappy2112 holy crap

[@geekyprogrammer4831]

@@robmulla Please continue to be make videos like this😊

[@robmulla]

@@geekyprogrammer4831 Thanks so much! Funny that this video has the least views of all that I made so I figured people didn't like the funny videos. Maybe I'll give it another try!

[@RolandoLopezNieto]

Great video

[@coopernik]

That was a good video. I subscribed

[@robmulla]

Thanks!

[@johnmachabee7261]

You earned my subscription, good sir!

[@robmulla]

Thanks for watching.

[@JoelHernandez-vs1kn]

Thank you very much!! Quick question, is there a way to add labels to specific percentiles of a box plot, lets say to median and 75th percentile?

[@tariqaziz1795]

Thanks for knowlege and entertain. i hope to learn much more.

[@robmulla]

Glad you were both entertained and learned! That’s my goal.

[@DANIEL-lt9br]

Thanks for this video, i have been enjoyed a lot, i'm subscribed yet!

[@robmulla]

Really appreciate that!

[@gerardbender197]

Thank you That was so helpful

[@robmulla]

Glad it helped! Thanks so much for the comment.

[@gabrielmoreno2554]

Love your work. PX😍

[@robmulla]

Thanks Gabriel! Glad you enjoy it.

[@dimitriosdesmos4699]

Which is best for plotting live data from exchanges?

[@robmulla]

Depends. How live?

[@pietraderdetective8953]

We can change Pandas plotting backend to Plotly if one need interactive chart

[@philwebb59]

5:16 Ryu Nagase, product management director, consumer imaging group, Canon Corp, pronounces bokeh like okay, with a b on front. BOW-kay. Stress on the BOW. kzbin.info/www/bejne/j2Glo5looZ2MqcU

[@robmulla]

Oh. I guess that’s the way it’s pronounced. Thanks for the feedback.

[@gabrielperfumo1122]

You are super cool!! Great content. My ranking: EDA: matplotlib, seaborn and pandas. PRESENTATIONS, DASHBOARDS AND WEBAPPS: Dash-plotly

[@robmulla]

So glad you like the content. Share with a friend or two! I totally agree with the seperation between EDA and presentation/dashboard libraries. Great point.

[@petehall1900]

Why is chart studio the new plotly import syntax?

[@robmulla]

I'm not sure if I'm following your question. Thanks for watching.

[@-steady-8215]

Did you ever make a video on dash then?

[@joshuaharkness2630]

Can you add a plotly visualization to PowerPoint? I have been able to do this using a PNG of the graph, but would love to keep it interactive.

[@williamgriffin61]

great content! thanks you Rob!

[@robmulla]

Thanks for watching.

[@AdobadoFantastico]

bokeh looks fun

[@robmulla]

It is!

[@Grenouille3344]

Hi, I search to show a chart of data same as Nasdaq and it can update with new data live in real time. Can you tell me the best for that. I appreciate a lot.

[@samarumugam4833]

Thanks Bro. Good Infos....

[@ajilaahad3508]

Bokeh is not working when ssl integrated. Can anyone help

[@khanafridi8894]

Sir plz make an amazing series about visualization in python and some other important graph 😊

[@GlenCote]

How about Panel?

[@robmulla]

I haven’t heard of panel. Should I check it out?

[@jac.t.kitlim]

My vote on panel and the holoviz family..

[@Davidkiania]

Part of Hvplot.

[@sanishkoshijacob2813]

I used vispy for plotting real time data.

[@dhnguyen68]

I have closed your video… Just kidding, very nice explanation with lively humor. Thanks

[@robosergTV]

where is proplot?

[@BinaryCloudChaser]

Best is mataplot can make live diagramms ....( moving lines iver time.)

[@TzviKD]

Really helpful! I think the title of the video can be improved for greater reach :)

[@robmulla]

Thanks! I’m open to ideas for a new title. Any suggestions?

[@TzviKD]

@@robmulla Sure.. "Matplotlib vs Seaborn vs Bokeh vs Plotly vs Plotnine vs Altair vs Pandas in 15 minutes" "7 Python Data Visualization Libraries in 15 minutes" "Data Visualization in Python - Quick Libraries Overview" As you can see, my line of thought is that the main subject of the video - the libraries - is not in the title.. but should be, because its an informative video and not entertainment; even though you did make it entertaining ;)

[@SquareRootgg]

For real time app which is the bettet

[@titan-0016]

content is good but those to b quirky jokes are not

[@XenoghostTV]

Mf you got a public "investing" folder you're so corny you're in no position to be making fun of anyone

[@AnonYmouS00816]

I like it, it doesn't feel boring. Watch some indians if you don't like people with humour.

[@titan-0016]

How will I find racists in those channels..​@@AnonYmouS00816..

[@deniskorobkin8574]

You are like Stevie T* but in the world of data (* a Canadian electric guitar blogger worth checking out if you haven't already)

[@bennguyen1313]

Do you have any suggestion for plotting 2d data real-time... with new samples coming in every 100ms (via can-bus)? I tried pyqtgraph, however with each new sample, the array took longer to display, and after just a couple minutes the lag was so bad that its not usable. Any suggestions on a tool that can keep up with an ever increasing data array? To minimize RAM, I was thinking of appending each new sample to a csv file, and then have maplotlib continuously reload the file. But maybe vaex is better at working with a dynamically increasing large data array ? Or maybe gnuplot, mayavi?

[@mikescarborough9196]

So violin plots should not be called twat plots…

[@VIZA_9507]

Wheee i need to focus first as i beginner

[@RaptorT1V]

Where is Pygal?

[@jonreznick5531]

Don't hate on pie charts, but yes they are bad wherever more than 6 categories are grouped and tallied.

[@robmulla]

Agree to disagree?

[@jonreznick5531]

now i want to hear you view on this. pie charts have treated me real good--the customers want them.

[@VulcanOnWheels]

1:24 Really...? I'm outta here.

[@robmulla]

You love it.

[@jaxim1668]

really a fan of pandas aren't you?🤣

[@c0f2a]

import seaborn as sb

[@glawtonmoore]

Yellowbrick

[@Zydres_Impaler]

I was born in 2003😂😂

[@MariaDelCarmenCorralNuñez]

No, I was born in 1991

[@VIZA_9507]

I am beginner a in python

[@GarzonG6]

Excellent content, stupid explanation

[@nb664rbk]

cringe

[@robmulla]

Yep